Which term pertains to ensuring that AI systems do not harm individuals?

The term that pertains to ensuring that AI systems do not harm individuals is ethical AI. Ethical AI encompasses frameworks and guidelines that govern the development and deployment of artificial intelligence systems to prioritize human welfare, fairness, transparency, and accountability. This includes actively working to avoid causing harm through biased outcomes, unjust treatment, or unsafe practices within these systems.

In the context of AI, being ethical means that developers and organizations embrace principles that protect users and society. This often involves comprehensive assessments to mitigate risks associated with AI technology, including discrimination and privacy issues, to ensure that AI solutions serve the greater good while respecting individuals' rights.

The other terms provided relate to different aspects of data and AI but do not focus specifically on the overarching ethical considerations. Data privacy deals with the rights individuals have over their personal information, algorithmic bias refers to the unfair outcomes that can arise from biased data or models, and data security focuses on protecting data from unauthorized access and breaches. While these are all important concepts within the realm of AI, ethical AI is the most relevant term associated with the responsibility of AI systems to avoid harm to individuals.